Pandas Profiling Report

Dataset statistics

Number of variables	81
Number of observations	1451
Missing cells	1370
Missing cells (%)	1.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	918.3 KiB
Average record size in memory	648.1 B

Variable types

Numeric	29
Categorical	52

Alerts

`GarageYrBlt` has constant value "0.0"	Constant
`df_index` is highly correlated with `Id`	High correlation
`Id` is highly correlated with `df_index`	High correlation
`MSSubClass` is highly correlated with `BldgType`	High correlation
`LandContour` is highly correlated with `LandSlope`	High correlation
`LandSlope` is highly correlated with `LandContour`	High correlation
`BldgType` is highly correlated with `MSSubClass`	High correlation
`HouseStyle` is highly correlated with `2ndFlrSF` and 1 other fields	High correlation
`OverallQual` is highly correlated with `YearBuilt` and 8 other fields	High correlation
`YearBuilt` is highly correlated with `OverallQual` and 11 other fields	High correlation
`YearRemodAdd` is highly correlated with `OverallQual` and 8 other fields	High correlation
`Exterior1st` is highly correlated with `YearBuilt` and 3 other fields	High correlation
`Exterior2nd` is highly correlated with `YearBuilt` and 3 other fields	High correlation
`MasVnrType` is highly correlated with `MasVnrArea`	High correlation
`MasVnrArea` is highly correlated with `MasVnrType`	High correlation
`ExterQual` is highly correlated with `OverallQual` and 5 other fields	High correlation
`Foundation` is highly correlated with `OverallQual` and 7 other fields	High correlation
`BsmtQual` is highly correlated with `YearBuilt`	High correlation
`BsmtFinType1` is highly correlated with `BsmtFinSF1`	High correlation
`BsmtFinSF1` is highly correlated with `BsmtFinType1` and 2 other fields	High correlation
`BsmtFinType2` is highly correlated with `BsmtFinSF2`	High correlation
`BsmtFinSF2` is highly correlated with `BsmtFinType2`	High correlation
`BsmtUnfSF` is highly correlated with `BsmtFinSF1`	High correlation
`TotalBsmtSF` is highly correlated with `1stFlrSF` and 1 other fields	High correlation
`HeatingQC` is highly correlated with `YearBuilt` and 2 other fields	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF` and 1 other fields	High correlation
`2ndFlrSF` is highly correlated with `HouseStyle` and 4 other fields	High correlation
`GrLivArea` is highly correlated with `OverallQual` and 6 other fields	High correlation
`BsmtFullBath` is highly correlated with `BsmtFinSF1`	High correlation
`FullBath` is highly correlated with `OverallQual` and 5 other fields	High correlation
`HalfBath` is highly correlated with `HouseStyle` and 1 other fields	High correlation
`BedroomAbvGr` is highly correlated with `2ndFlrSF` and 2 other fields	High correlation
`KitchenQual` is highly correlated with `YearRemodAdd` and 1 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `2ndFlrSF` and 4 other fields	High correlation
`Fireplaces` is highly correlated with `SalePrice`	High correlation
`GarageCars` is highly correlated with `OverallQual` and 5 other fields	High correlation
`GarageArea` is highly correlated with `OverallQual` and 3 other fields	High correlation
`GarageQual` is highly correlated with `GarageCond`	High correlation
`GarageCond` is highly correlated with `GarageQual`	High correlation
`PoolArea` is highly correlated with `PoolQC`	High correlation
`PoolQC` is highly correlated with `PoolArea`	High correlation
`MiscFeature` is highly correlated with `MiscVal`	High correlation
`MiscVal` is highly correlated with `MiscFeature`	High correlation
`SaleType` is highly correlated with `SaleCondition`	High correlation
`SaleCondition` is highly correlated with `SaleType`	High correlation
`SalePrice` is highly correlated with `OverallQual` and 12 other fields	High correlation
`df_index` is highly correlated with `Id`	High correlation
`Id` is highly correlated with `df_index`	High correlation
`MSSubClass` is highly correlated with `BldgType`	High correlation
`LandContour` is highly correlated with `LandSlope`	High correlation
`LandSlope` is highly correlated with `LandContour`	High correlation
`BldgType` is highly correlated with `MSSubClass`	High correlation
`HouseStyle` is highly correlated with `2ndFlrSF` and 1 other fields	High correlation
`OverallQual` is highly correlated with `YearBuilt` and 9 other fields	High correlation
`YearBuilt` is highly correlated with `OverallQual` and 8 other fields	High correlation
`YearRemodAdd` is highly correlated with `OverallQual` and 6 other fields	High correlation
`Exterior1st` is highly correlated with `YearBuilt` and 2 other fields	High correlation
`Exterior2nd` is highly correlated with `YearBuilt` and 2 other fields	High correlation
`MasVnrType` is highly correlated with `MasVnrArea`	High correlation
`MasVnrArea` is highly correlated with `MasVnrType`	High correlation
`ExterQual` is highly correlated with `OverallQual` and 4 other fields	High correlation
`Foundation` is highly correlated with `OverallQual` and 6 other fields	High correlation
`BsmtQual` is highly correlated with `YearBuilt`	High correlation
`BsmtFinSF1` is highly correlated with `TotalBsmtSF` and 1 other fields	High correlation
`BsmtFinType2` is highly correlated with `BsmtFinSF2`	High correlation
`BsmtFinSF2` is highly correlated with `BsmtFinType2`	High correlation
`TotalBsmtSF` is highly correlated with `OverallQual` and 3 other fields	High correlation
`HeatingQC` is highly correlated with `YearRemodAdd` and 1 other fields	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF` and 2 other fields	High correlation
`2ndFlrSF` is highly correlated with `HouseStyle` and 4 other fields	High correlation
`GrLivArea` is highly correlated with `OverallQual` and 6 other fields	High correlation
`BsmtFullBath` is highly correlated with `BsmtFinSF1`	High correlation
`FullBath` is highly correlated with `OverallQual` and 3 other fields	High correlation
`HalfBath` is highly correlated with `HouseStyle` and 1 other fields	High correlation
`BedroomAbvGr` is highly correlated with `2ndFlrSF` and 2 other fields	High correlation
`KitchenQual` is highly correlated with `YearRemodAdd` and 1 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `2ndFlrSF` and 4 other fields	High correlation
`GarageCars` is highly correlated with `OverallQual` and 4 other fields	High correlation
`GarageArea` is highly correlated with `OverallQual` and 2 other fields	High correlation
`GarageQual` is highly correlated with `GarageCond`	High correlation
`GarageCond` is highly correlated with `GarageCars` and 1 other fields	High correlation
`PoolArea` is highly correlated with `PoolQC`	High correlation
`PoolQC` is highly correlated with `PoolArea`	High correlation
`SaleType` is highly correlated with `SaleCondition`	High correlation
`SaleCondition` is highly correlated with `SaleType`	High correlation
`SalePrice` is highly correlated with `OverallQual` and 9 other fields	High correlation
`df_index` is highly correlated with `Id`	High correlation
`Id` is highly correlated with `df_index`	High correlation
`MSSubClass` is highly correlated with `BldgType`	High correlation
`LandContour` is highly correlated with `LandSlope`	High correlation
`LandSlope` is highly correlated with `LandContour`	High correlation
`BldgType` is highly correlated with `MSSubClass`	High correlation
`HouseStyle` is highly correlated with `2ndFlrSF` and 1 other fields	High correlation
`OverallQual` is highly correlated with `YearBuilt` and 5 other fields	High correlation
`YearBuilt` is highly correlated with `OverallQual` and 2 other fields	High correlation
`YearRemodAdd` is highly correlated with `YearBuilt`	High correlation
`Exterior1st` is highly correlated with `Exterior2nd` and 1 other fields	High correlation
`Exterior2nd` is highly correlated with `Exterior1st` and 1 other fields	High correlation
`MasVnrType` is highly correlated with `MasVnrArea`	High correlation
`MasVnrArea` is highly correlated with `MasVnrType`	High correlation
`ExterQual` is highly correlated with `OverallQual` and 2 other fields	High correlation
`Foundation` is highly correlated with `OverallQual` and 5 other fields	High correlation
`BsmtFinSF1` is highly correlated with `BsmtFullBath`	High correlation
`BsmtFinType2` is highly correlated with `BsmtFinSF2`	High correlation
`BsmtFinSF2` is highly correlated with `BsmtFinType2`	High correlation
`TotalBsmtSF` is highly correlated with `1stFlrSF`	High correlation
`HeatingQC` is highly correlated with `Foundation`	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF`	High correlation
`2ndFlrSF` is highly correlated with `HouseStyle` and 2 other fields	High correlation
`GrLivArea` is highly correlated with `2ndFlrSF` and 3 other fields	High correlation
`BsmtFullBath` is highly correlated with `BsmtFinSF1`	High correlation
`FullBath` is highly correlated with `OverallQual` and 2 other fields	High correlation
`HalfBath` is highly correlated with `HouseStyle` and 1 other fields	High correlation
`BedroomAbvGr` is highly correlated with `TotRmsAbvGrd`	High correlation
`KitchenQual` is highly correlated with `ExterQual`	High correlation
`TotRmsAbvGrd` is highly correlated with `GrLivArea` and 1 other fields	High correlation
`GarageCars` is highly correlated with `OverallQual` and 2 other fields	High correlation
`GarageArea` is highly correlated with `GarageCars`	High correlation
`GarageQual` is highly correlated with `GarageCond`	High correlation
`GarageCond` is highly correlated with `GarageQual`	High correlation
`PoolArea` is highly correlated with `PoolQC`	High correlation
`PoolQC` is highly correlated with `PoolArea`	High correlation
`MiscFeature` is highly correlated with `MiscVal`	High correlation
`MiscVal` is highly correlated with `MiscFeature`	High correlation
`SaleType` is highly correlated with `SaleCondition`	High correlation
`SaleCondition` is highly correlated with `SaleType`	High correlation
`SalePrice` is highly correlated with `OverallQual` and 3 other fields	High correlation
`BsmtFullBath` is highly correlated with `GarageYrBlt`	High correlation
`FullBath` is highly correlated with `GarageYrBlt`	High correlation
`BsmtCond` is highly correlated with `GarageYrBlt`	High correlation
`ExterQual` is highly correlated with `KitchenQual` and 2 other fields	High correlation
`PoolQC` is highly correlated with `GarageYrBlt`	High correlation
`BsmtFinType1` is highly correlated with `GarageYrBlt`	High correlation
`MasVnrType` is highly correlated with `GarageYrBlt`	High correlation
`GarageType` is highly correlated with `GarageYrBlt`	High correlation
`KitchenQual` is highly correlated with `ExterQual` and 1 other fields	High correlation
`GarageCond` is highly correlated with `GarageYrBlt` and 2 other fields	High correlation
`PavedDrive` is highly correlated with `GarageYrBlt`	High correlation
`Exterior2nd` is highly correlated with `GarageYrBlt` and 2 other fields	High correlation
`FireplaceQu` is highly correlated with `GarageYrBlt`	High correlation
`SaleType` is highly correlated with `GarageYrBlt` and 1 other fields	High correlation
`Utilities` is highly correlated with `GarageYrBlt`	High correlation
`KitchenAbvGr` is highly correlated with `GarageYrBlt`	High correlation
`Street` is highly correlated with `GarageYrBlt`	High correlation
`LotConfig` is highly correlated with `GarageYrBlt`	High correlation
`BsmtQual` is highly correlated with `GarageYrBlt`	High correlation
`GarageYrBlt` is highly correlated with `BsmtFullBath` and 50 other fields	High correlation
`RoofStyle` is highly correlated with `GarageYrBlt`	High correlation
`CentralAir` is highly correlated with `GarageYrBlt`	High correlation
`BsmtHalfBath` is highly correlated with `GarageYrBlt`	High correlation
`Fireplaces` is highly correlated with `GarageYrBlt`	High correlation
`LandContour` is highly correlated with `GarageYrBlt` and 1 other fields	High correlation
`BsmtExposure` is highly correlated with `GarageYrBlt`	High correlation
`Condition1` is highly correlated with `GarageYrBlt`	High correlation
`BldgType` is highly correlated with `GarageYrBlt`	High correlation
`Fence` is highly correlated with `GarageYrBlt`	High correlation
`LotShape` is highly correlated with `GarageYrBlt`	High correlation
`HalfBath` is highly correlated with `GarageYrBlt` and 1 other fields	High correlation
`Functional` is highly correlated with `GarageYrBlt`	High correlation
`GarageCars` is highly correlated with `GarageCond` and 2 other fields	High correlation
`MiscFeature` is highly correlated with `GarageYrBlt`	High correlation
`Heating` is highly correlated with `GarageYrBlt`	High correlation
`LandSlope` is highly correlated with `GarageYrBlt` and 1 other fields	High correlation
`YrSold` is highly correlated with `GarageYrBlt`	High correlation
`Condition2` is highly correlated with `GarageYrBlt`	High correlation
`MSZoning` is highly correlated with `GarageYrBlt`	High correlation
`HouseStyle` is highly correlated with `GarageYrBlt` and 1 other fields	High correlation
`Exterior1st` is highly correlated with `Exterior2nd` and 2 other fields	High correlation
`ExterCond` is highly correlated with `GarageYrBlt`	High correlation
`BsmtFinType2` is highly correlated with `GarageYrBlt`	High correlation
`Neighborhood` is highly correlated with `GarageYrBlt`	High correlation
`SaleCondition` is highly correlated with `SaleType` and 1 other fields	High correlation
`RoofMatl` is highly correlated with `GarageYrBlt`	High correlation
`GarageFinish` is highly correlated with `GarageYrBlt`	High correlation
`Alley` is highly correlated with `GarageYrBlt`	High correlation
`Foundation` is highly correlated with `ExterQual` and 4 other fields	High correlation
`GarageQual` is highly correlated with `GarageCond` and 2 other fields	High correlation
`HeatingQC` is highly correlated with `GarageYrBlt` and 1 other fields	High correlation
`Electrical` is highly correlated with `GarageYrBlt`	High correlation
`df_index` is highly correlated with `Id`	High correlation
`Id` is highly correlated with `df_index`	High correlation
`MSSubClass` is highly correlated with `MSZoning` and 12 other fields	High correlation
`MSZoning` is highly correlated with `MSSubClass` and 2 other fields	High correlation
`Alley` is highly correlated with `MSZoning`	High correlation
`LandContour` is highly correlated with `LandSlope`	High correlation
`LandSlope` is highly correlated with `LandContour`	High correlation
`Neighborhood` is highly correlated with `Exterior1st` and 1 other fields	High correlation
`BldgType` is highly correlated with `MSSubClass` and 2 other fields	High correlation
`HouseStyle` is highly correlated with `MSSubClass` and 4 other fields	High correlation
`OverallQual` is highly correlated with `OverallCond` and 18 other fields	High correlation
`OverallCond` is highly correlated with `OverallQual` and 1 other fields	High correlation
`YearBuilt` is highly correlated with `MSSubClass` and 21 other fields	High correlation
`YearRemodAdd` is highly correlated with `YearBuilt` and 9 other fields	High correlation
`Exterior1st` is highly correlated with `Neighborhood` and 10 other fields	High correlation
`Exterior2nd` is highly correlated with `Neighborhood` and 9 other fields	High correlation
`MasVnrType` is highly correlated with `MasVnrArea`	High correlation
`MasVnrArea` is highly correlated with `OverallQual` and 4 other fields	High correlation
`ExterQual` is highly correlated with `MSSubClass` and 12 other fields	High correlation
`Foundation` is highly correlated with `MSSubClass` and 14 other fields	High correlation
`BsmtQual` is highly correlated with `OverallQual` and 10 other fields	High correlation
`BsmtFinType1` is highly correlated with `OverallQual` and 7 other fields	High correlation
`BsmtFinSF1` is highly correlated with `BsmtFinType1` and 8 other fields	High correlation
`BsmtFinType2` is highly correlated with `BsmtFinSF2`	High correlation
`BsmtFinSF2` is highly correlated with `BsmtFinType2`	High correlation
`BsmtUnfSF` is highly correlated with `TotalBsmtSF` and 1 other fields	High correlation
`TotalBsmtSF` is highly correlated with `OverallQual` and 7 other fields	High correlation
`Heating` is highly correlated with `CentralAir`	High correlation
`HeatingQC` is highly correlated with `OverallQual` and 9 other fields	High correlation
`CentralAir` is highly correlated with `YearBuilt` and 3 other fields	High correlation
`Electrical` is highly correlated with `CentralAir`	High correlation
`1stFlrSF` is highly correlated with `MSSubClass` and 10 other fields	High correlation
`2ndFlrSF` is highly correlated with `MSSubClass` and 9 other fields	High correlation
`GrLivArea` is highly correlated with `HouseStyle` and 17 other fields	High correlation
`BsmtFullBath` is highly correlated with `BsmtFinType1` and 3 other fields	High correlation
`FullBath` is highly correlated with `MSSubClass` and 16 other fields	High correlation
`HalfBath` is highly correlated with `MSSubClass` and 1 other fields	High correlation
`BedroomAbvGr` is highly correlated with `MSSubClass` and 5 other fields	High correlation
`KitchenAbvGr` is highly correlated with `MSSubClass` and 1 other fields	High correlation
`KitchenQual` is highly correlated with `OverallQual` and 10 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `HouseStyle` and 7 other fields	High correlation
`Fireplaces` is highly correlated with `1stFlrSF` and 2 other fields	High correlation
`FireplaceQu` is highly correlated with `Fireplaces`	High correlation
`GarageType` is highly correlated with `MSSubClass` and 5 other fields	High correlation
`GarageFinish` is highly correlated with `GarageType`	High correlation
`GarageCars` is highly correlated with `OverallQual` and 8 other fields	High correlation
`GarageArea` is highly correlated with `OverallQual` and 10 other fields	High correlation
`GarageQual` is highly correlated with `YearBuilt` and 5 other fields	High correlation
`GarageCond` is highly correlated with `GarageType` and 4 other fields	High correlation
`PavedDrive` is highly correlated with `YearBuilt`	High correlation
`OpenPorchSF` is highly correlated with `BsmtFinSF1` and 1 other fields	High correlation
`EnclosedPorch` is highly correlated with `PoolArea`	High correlation
`PoolArea` is highly correlated with `TotalBsmtSF` and 4 other fields	High correlation
`PoolQC` is highly correlated with `BsmtFinSF1` and 3 other fields	High correlation
`SaleType` is highly correlated with `YearRemodAdd` and 1 other fields	High correlation
`SaleCondition` is highly correlated with `SaleType`	High correlation
`SalePrice` is highly correlated with `OverallQual` and 21 other fields	High correlation
`GarageYrBlt` has 1370 (94.4%) missing values	Missing
`MiscVal` is highly skewed (γ1 = 24.40151268)	Skewed
`df_index` is uniformly distributed	Uniform
`Id` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`Id` has unique values	Unique
`MasVnrArea` has 860 (59.3%) zeros	Zeros
`BsmtFinSF1` has 464 (32.0%) zeros	Zeros
`BsmtFinSF2` has 1284 (88.5%) zeros	Zeros
`BsmtUnfSF` has 118 (8.1%) zeros	Zeros
`TotalBsmtSF` has 37 (2.5%) zeros	Zeros
`2ndFlrSF` has 824 (56.8%) zeros	Zeros
`LowQualFinSF` has 1425 (98.2%) zeros	Zeros
`GarageArea` has 81 (5.6%) zeros	Zeros
`WoodDeckSF` has 755 (52.0%) zeros	Zeros
`OpenPorchSF` has 653 (45.0%) zeros	Zeros
`EnclosedPorch` has 1244 (85.7%) zeros	Zeros
`3SsnPorch` has 1427 (98.3%) zeros	Zeros
`ScreenPorch` has 1335 (92.0%) zeros	Zeros
`PoolArea` has 1444 (99.5%) zeros	Zeros
`MiscVal` has 1399 (96.4%) zeros	Zeros

Reproduction

Analysis started	2022-08-14 18:37:36.352284
Analysis finished	2022-08-14 18:38:39.782564
Duration	1 minute and 3.43 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	1451
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	728.3742247

Minimum	0
Maximum	1459
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	72.5
Q1	363.5
median	728
Q3	1093.5
95-th percentile	1386.5
Maximum	1459
Range	1459
Interquartile range (IQR)	730

Descriptive statistics

Standard deviation	421.7378576
Coefficient of variation (CV)	0.5790126055
Kurtosis	-1.199942419
Mean	728.3742247
Median Absolute Deviation (MAD)	365
Skewness	0.00357607674
Sum	1056871
Variance	177862.8205
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	0.1%
980	1	0.1%
978	1	0.1%
976	1	0.1%
975	1	0.1%
974	1	0.1%
972	1	0.1%
971	1	0.1%
970	1	0.1%
969	1	0.1%
Other values (1441)	1441	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%

Value	Count	Frequency (%)
1459	1	0.1%
1458	1	0.1%
1457	1	0.1%
1456	1	0.1%
1455	1	0.1%
1454	1	0.1%
1453	1	0.1%
1452	1	0.1%
1451	1	0.1%
1450	1	0.1%

Id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	1451
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	729.3742247

Minimum	1
Maximum	1460
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	73.5
Q1	364.5
median	729
Q3	1094.5
95-th percentile	1387.5
Maximum	1460
Range	1459
Interquartile range (IQR)	730

Descriptive statistics

Standard deviation	421.7378576
Coefficient of variation (CV)	0.5782187571
Kurtosis	-1.199942419
Mean	729.3742247
Median Absolute Deviation (MAD)	365
Skewness	0.00357607674
Sum	1058322
Variance	177862.8205
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.1%
981	1	0.1%
979	1	0.1%
977	1	0.1%
976	1	0.1%
975	1	0.1%
973	1	0.1%
972	1	0.1%
971	1	0.1%
970	1	0.1%
Other values (1441)	1441	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
1460	1	0.1%
1459	1	0.1%
1458	1	0.1%
1457	1	0.1%
1456	1	0.1%
1455	1	0.1%
1454	1	0.1%
1453	1	0.1%
1452	1	0.1%
1451	1	0.1%

MSSubClass
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	56.93314955

Minimum	20
Maximum	190
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	20
5-th percentile	20
Q1	20
median	50
Q3	70
95-th percentile	160
Maximum	190
Range	170
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	42.35036551
Coefficient of variation (CV)	0.7438612802
Kurtosis	1.577205972
Mean	56.93314955
Median Absolute Deviation (MAD)	30
Skewness	1.408299254
Sum	82610
Variance	1793.553459
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
20	532	36.7%
60	296	20.4%
50	144	9.9%
120	86	5.9%
30	69	4.8%
160	63	4.3%
70	60	4.1%
80	57	3.9%
90	52	3.6%
190	30	2.1%
Other values (5)	62	4.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	532	36.7%
30	69	4.8%
40	4	0.3%
45	12	0.8%
50	144	9.9%
60	296	20.4%
70	60	4.1%
75	16	1.1%
80	57	3.9%
85	20	1.4%

Value	Count	Frequency (%)
190	30	2.1%
180	10	0.7%
160	63	4.3%
120	86	5.9%
90	52	3.6%
85	20	1.4%
80	57	3.9%
75	16	1.1%
70	60	4.1%
60	296	20.4%

MSZoning
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1145
0.0	306

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1145	78.9%
0.0	306	21.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1145	78.9%
0.0	306	21.1%

Most occurring characters

Value	Count	Frequency (%)
0	1757	40.4%
.	1451	33.3%
1	1145	26.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1757	60.5%
1	1145	39.5%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1757	40.4%
.	1451	33.3%
1	1145	26.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1757	40.4%
.	1451	33.3%
1	1145	26.3%

LotArea
Real number (ℝ_≥0)

Distinct	1066
Distinct (%)	73.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10507.80841

Minimum	1300
Maximum	215245
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1300
5-th percentile	3273
Q1	7537.5
median	9477
Q3	11600
95-th percentile	17308.5
Maximum	215245
Range	213945
Interquartile range (IQR)	4062.5

Descriptive statistics

Standard deviation	9992.987081
Coefficient of variation (CV)	0.9510058323
Kurtosis	203.5840787
Mean	10507.80841
Median Absolute Deviation (MAD)	2001
Skewness	12.23574174
Sum	15246830
Variance	99859790.79
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7200	25	1.7%
9600	24	1.7%
6000	17	1.2%
8400	14	1.0%
9000	14	1.0%
10800	14	1.0%
1680	10	0.7%
7500	9	0.6%
6120	8	0.6%
6240	8	0.6%
Other values (1056)	1308	90.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1300	1	0.1%
1477	1	0.1%
1491	1	0.1%
1526	1	0.1%
1533	2	0.1%
1596	1	0.1%
1680	10	0.7%
1869	1	0.1%
1890	2	0.1%
1920	1	0.1%

Value	Count	Frequency (%)
215245	1	0.1%
164660	1	0.1%
159000	1	0.1%
115149	1	0.1%
70761	1	0.1%
63887	1	0.1%
57200	1	0.1%
53504	1	0.1%
53227	1	0.1%
53107	1	0.1%

Street
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1445
0.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1445	99.6%
0.0	6	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1445	99.6%
0.0	6	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	1457	33.5%
.	1451	33.3%
1	1445	33.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1457	50.2%
1	1445	49.8%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1457	33.5%
.	1451	33.3%
1	1445	33.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1457	33.5%
.	1451	33.3%
1	1445	33.2%

Alley
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1361
0.0	90

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1361	93.8%
0.0	90	6.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1361	93.8%
0.0	90	6.2%

Most occurring characters

Value	Count	Frequency (%)
0	1541	35.4%
.	1451	33.3%
1	1361	31.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1541	53.1%
1	1361	46.9%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1541	35.4%
.	1451	33.3%
1	1361	31.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1541	35.4%
.	1451	33.3%
1	1361	31.3%

LotShape
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	969
1.0	482

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	969	66.8%
1.0	482	33.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	969	66.8%
1.0	482	33.2%

Most occurring characters

Value	Count	Frequency (%)
0	2420	55.6%
.	1451	33.3%
1	482	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2420	83.4%
1	482	16.6%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2420	55.6%
.	1451	33.3%
1	482	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2420	55.6%
.	1451	33.3%
1	482	11.1%

LandContour
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1302
0.0	149

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1302	89.7%
0.0	149	10.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1302	89.7%
0.0	149	10.3%

Most occurring characters

Value	Count	Frequency (%)
0	1600	36.8%
.	1451	33.3%
1	1302	29.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1600	55.1%
1	1302	44.9%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1600	36.8%
.	1451	33.3%
1	1302	29.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1600	36.8%
.	1451	33.3%
1	1302	29.9%

Utilities
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1450
0.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1450	99.9%
0.0	1	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1450	99.9%
0.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1452	33.4%
.	1451	33.3%
1	1450	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1452	50.0%
1	1450	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1452	33.4%
.	1451	33.3%
1	1450	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1452	33.4%
.	1451	33.3%
1	1450	33.3%

LotConfig
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1045
0.0	406

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	1045	72.0%
0.0	406	28.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1045	72.0%
0.0	406	28.0%

Most occurring characters

Value	Count	Frequency (%)
0	1857	42.7%
.	1451	33.3%
1	1045	24.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1857	64.0%
1	1045	36.0%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1857	42.7%
.	1451	33.3%
1	1045	24.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1857	42.7%
.	1451	33.3%
1	1045	24.0%

LandSlope
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1373
0.0	78

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1373	94.6%
0.0	78	5.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1373	94.6%
0.0	78	5.4%

Most occurring characters

Value	Count	Frequency (%)
0	1529	35.1%
.	1451	33.3%
1	1373	31.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1529	52.7%
1	1373	47.3%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1529	35.1%
.	1451	33.3%
1	1373	31.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1529	35.1%
.	1451	33.3%
1	1373	31.5%

Neighborhood
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	1302
1.0	149

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1302	89.7%
1.0	149	10.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	1302	89.7%
1.0	149	10.3%

Most occurring characters

Value	Count	Frequency (%)
0	2753	63.2%
.	1451	33.3%
1	149	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2753	94.9%
1	149	5.1%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2753	63.2%
.	1451	33.3%
1	149	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2753	63.2%
.	1451	33.3%
1	149	3.4%

Condition1
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1251
0.0	200

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1251	86.2%
0.0	200	13.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1251	86.2%
0.0	200	13.8%

Most occurring characters

Value	Count	Frequency (%)
0	1651	37.9%
.	1451	33.3%
1	1251	28.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1651	56.9%
1	1251	43.1%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1651	37.9%
.	1451	33.3%
1	1251	28.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1651	37.9%
.	1451	33.3%
1	1251	28.7%

Condition2
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1436
0.0	15

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1436	99.0%
0.0	15	1.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1436	99.0%
0.0	15	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	1466	33.7%
.	1451	33.3%
1	1436	33.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1466	50.5%
1	1436	49.5%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1466	33.7%
.	1451	33.3%
1	1436	33.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1466	33.7%
.	1451	33.3%
1	1436	33.0%

BldgType
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1212
0.0	239

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1212	83.5%
0.0	239	16.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1212	83.5%
0.0	239	16.5%

Most occurring characters

Value	Count	Frequency (%)
0	1690	38.8%
.	1451	33.3%
1	1212	27.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1690	58.2%
1	1212	41.8%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1690	38.8%
.	1451	33.3%
1	1212	27.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1690	38.8%
.	1451	33.3%
1	1212	27.8%

HouseStyle
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	1009
1.0	442

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	1009	69.5%
1.0	442	30.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	1009	69.5%
1.0	442	30.5%

Most occurring characters

Value	Count	Frequency (%)
0	2460	56.5%
.	1451	33.3%
1	442	10.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2460	84.8%
1	442	15.2%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2460	56.5%
.	1451	33.3%
1	442	10.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2460	56.5%
.	1451	33.3%
1	442	10.2%

OverallQual
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.093728463

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	5
median	6
Q3	7
95-th percentile	8
Maximum	10
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.381466719
Coefficient of variation (CV)	0.226703032
Kurtosis	0.08552729267
Mean	6.093728463
Median Absolute Deviation (MAD)	1
Skewness	0.2134048765
Sum	8842
Variance	1.908450296
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
5	396	27.3%
6	372	25.6%
7	315	21.7%
8	167	11.5%
4	116	8.0%
9	43	3.0%
3	20	1.4%
10	17	1.2%
2	3	0.2%
1	2	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	0.1%
2	3	0.2%
3	20	1.4%
4	116	8.0%
5	396	27.3%
6	372	25.6%
7	315	21.7%
8	167	11.5%
9	43	3.0%
10	17	1.2%

Value	Count	Frequency (%)
10	17	1.2%
9	43	3.0%
8	167	11.5%
7	315	21.7%
6	372	25.6%
5	396	27.3%
4	116	8.0%
3	20	1.4%
2	3	0.2%
1	2	0.1%

OverallCond
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.579600276

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	5
median	5
Q3	6
95-th percentile	8
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.113415425
Coefficient of variation (CV)	0.1995511094
Kurtosis	1.091941853
Mean	5.579600276
Median Absolute Deviation (MAD)	0
Skewness	0.6939047475
Sum	8096
Variance	1.239693909
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
5	814	56.1%
6	251	17.3%
7	205	14.1%
8	72	5.0%
4	57	3.9%
3	24	1.7%
9	22	1.5%
2	5	0.3%
1	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	5	0.3%
3	24	1.7%
4	57	3.9%
5	814	56.1%
6	251	17.3%
7	205	14.1%
8	72	5.0%
9	22	1.5%

Value	Count	Frequency (%)
9	22	1.5%
8	72	5.0%
7	205	14.1%
6	251	17.3%
5	814	56.1%
4	57	3.9%
3	24	1.7%
2	5	0.3%
1	1	0.1%

YearBuilt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	112
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1971.09235

Minimum	1872
Maximum	2010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1872
5-th percentile	1916
Q1	1954
median	1972
Q3	2000
95-th percentile	2007
Maximum	2010
Range	138
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	30.1902659
Coefficient of variation (CV)	0.01531651518
Kurtosis	-0.4423723285
Mean	1971.09235
Median Absolute Deviation (MAD)	25
Skewness	-0.6082207534
Sum	2860055
Variance	911.4521552
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2006	64	4.4%
2005	64	4.4%
2004	54	3.7%
2007	47	3.2%
2003	44	3.0%
1976	33	2.3%
1977	32	2.2%
1920	30	2.1%
1959	26	1.8%
1998	25	1.7%
Other values (102)	1032	71.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1872	1	0.1%
1875	1	0.1%
1880	4	0.3%
1882	1	0.1%
1885	2	0.1%
1890	2	0.1%
1892	2	0.1%
1893	1	0.1%
1898	1	0.1%
1900	10	0.7%

Value	Count	Frequency (%)
2010	1	0.1%
2009	18	1.2%
2008	23	1.6%
2007	47	3.2%
2006	64	4.4%
2005	64	4.4%
2004	54	3.7%
2003	44	3.0%
2002	21	1.4%
2001	20	1.4%

YearRemodAdd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	61
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1984.760165

Minimum	1950
Maximum	2010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1950
5-th percentile	1950
Q1	1966
median	1993
Q3	2004
95-th percentile	2007
Maximum	2010
Range	60
Interquartile range (IQR)	38

Descriptive statistics

Standard deviation	20.65133439
Coefficient of variation (CV)	0.01040495207
Kurtosis	-1.279511511
Mean	1984.760165
Median Absolute Deviation (MAD)	13
Skewness	-0.4963389034
Sum	2879887
Variance	426.4776121
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1950	178	12.3%
2006	96	6.6%
2005	73	5.0%
2007	73	5.0%
2004	62	4.3%
2000	55	3.8%
2003	50	3.4%
2002	46	3.2%
2008	39	2.7%
1996	36	2.5%
Other values (51)	743	51.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1950	178	12.3%
1951	4	0.3%
1952	5	0.3%
1953	10	0.7%
1954	14	1.0%
1955	9	0.6%
1956	10	0.7%
1957	9	0.6%
1958	15	1.0%
1959	18	1.2%

Value	Count	Frequency (%)
2010	6	0.4%
2009	23	1.6%
2008	39	2.7%
2007	73	5.0%
2006	96	6.6%
2005	73	5.0%
2004	62	4.3%
2003	50	3.4%
2002	46	3.2%
2001	21	1.4%

RoofStyle
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1133
0.0	318

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1133	78.1%
0.0	318	21.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1133	78.1%
0.0	318	21.9%

Most occurring characters

Value	Count	Frequency (%)
0	1769	40.6%
.	1451	33.3%
1	1133	26.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1769	61.0%
1	1133	39.0%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1769	40.6%
.	1451	33.3%
1	1133	26.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1769	40.6%
.	1451	33.3%
1	1133	26.0%

RoofMatl
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1425
0.0	26

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1425	98.2%
0.0	26	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1425	98.2%
0.0	26	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	1477	33.9%
.	1451	33.3%
1	1425	32.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1477	50.9%
1	1425	49.1%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1477	33.9%
.	1451	33.3%
1	1425	32.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1477	33.9%
.	1451	33.3%
1	1425	32.7%

Exterior1st
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	942
1.0	509

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	942	64.9%
1.0	509	35.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	942	64.9%
1.0	509	35.1%

Most occurring characters

Value	Count	Frequency (%)
0	2393	55.0%
.	1451	33.3%
1	509	11.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2393	82.5%
1	509	17.5%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2393	55.0%
.	1451	33.3%
1	509	11.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2393	55.0%
.	1451	33.3%
1	509	11.7%

Exterior2nd
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	953
1.0	498

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	953	65.7%
1.0	498	34.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	953	65.7%
1.0	498	34.3%

Most occurring characters

Value	Count	Frequency (%)
0	2404	55.2%
.	1451	33.3%
1	498	11.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2404	82.8%
1	498	17.2%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2404	55.2%
.	1451	33.3%
1	498	11.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2404	55.2%
.	1451	33.3%
1	498	11.4%

MasVnrType
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	1006
1.0	445

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	1006	69.3%
1.0	445	30.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	1006	69.3%
1.0	445	30.7%

Most occurring characters

Value	Count	Frequency (%)
0	2457	56.4%
.	1451	33.3%
1	445	10.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2457	84.7%
1	445	15.3%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2457	56.4%
.	1451	33.3%
1	445	10.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2457	56.4%
.	1451	33.3%
1	445	10.2%

MasVnrArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	327
Distinct (%)	22.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	103.7567195

Minimum	0
Maximum	1600
Zeros	860
Zeros (%)	59.3%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	166
95-th percentile	456
Maximum	1600
Range	1600
Interquartile range (IQR)	166

Descriptive statistics

Standard deviation	181.1081504
Coefficient of variation (CV)	1.745507677
Kurtosis	10.07505004
Mean	103.7567195
Median Absolute Deviation (MAD)	0
Skewness	2.668016481
Sum	150551
Variance	32800.16215
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	860	59.3%
180	8	0.6%
72	8	0.6%
108	8	0.6%
120	7	0.5%
16	7	0.5%
200	6	0.4%
340	6	0.4%
106	6	0.4%
80	6	0.4%
Other values (317)	529	36.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	860	59.3%
1	2	0.1%
11	1	0.1%
14	1	0.1%
16	7	0.5%
18	2	0.1%
22	1	0.1%
24	1	0.1%
27	1	0.1%
28	1	0.1%

Value	Count	Frequency (%)
1600	1	0.1%
1378	1	0.1%
1170	1	0.1%
1129	1	0.1%
1115	1	0.1%
1047	1	0.1%
1031	1	0.1%
975	1	0.1%
922	1	0.1%
921	1	0.1%

ExterQual
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	970
1.0	481

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	970	66.9%
1.0	481	33.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	970	66.9%
1.0	481	33.1%

Most occurring characters

Value	Count	Frequency (%)
0	2421	55.6%
.	1451	33.3%
1	481	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2421	83.4%
1	481	16.6%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2421	55.6%
.	1451	33.3%
1	481	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2421	55.6%
.	1451	33.3%
1	481	11.0%

ExterCond
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1273
0.0	178

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1273	87.7%
0.0	178	12.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1273	87.7%
0.0	178	12.3%

Most occurring characters

Value	Count	Frequency (%)
0	1629	37.4%
.	1451	33.3%
1	1273	29.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1629	56.1%
1	1273	43.9%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1629	37.4%
.	1451	33.3%
1	1273	29.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1629	37.4%
.	1451	33.3%
1	1273	29.2%

Foundation
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	813
1.0	638

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	813	56.0%
1.0	638	44.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	813	56.0%
1.0	638	44.0%

Most occurring characters

Value	Count	Frequency (%)
0	2264	52.0%
.	1451	33.3%
1	638	14.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2264	78.0%
1	638	22.0%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2264	52.0%
.	1451	33.3%
1	638	14.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2264	52.0%
.	1451	33.3%
1	638	14.7%

BsmtQual
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	840
1.0	611

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	840	57.9%
1.0	611	42.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	840	57.9%
1.0	611	42.1%

Most occurring characters

Value	Count	Frequency (%)
0	2291	52.6%
.	1451	33.3%
1	611	14.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2291	78.9%
1	611	21.1%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2291	52.6%
.	1451	33.3%
1	611	14.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2291	52.6%
.	1451	33.3%
1	611	14.0%

BsmtCond
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1303
0.0	148

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1303	89.8%
0.0	148	10.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1303	89.8%
0.0	148	10.2%

Most occurring characters

Value	Count	Frequency (%)
0	1599	36.7%
.	1451	33.3%
1	1303	29.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1599	55.1%
1	1303	44.9%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1599	36.7%
.	1451	33.3%
1	1303	29.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1599	36.7%
.	1451	33.3%
1	1303	29.9%

BsmtExposure
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	1337
1.0	114

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1337	92.1%
1.0	114	7.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	1337	92.1%
1.0	114	7.9%

Most occurring characters

Value	Count	Frequency (%)
0	2788	64.0%
.	1451	33.3%
1	114	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2788	96.1%
1	114	3.9%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2788	64.0%
.	1451	33.3%
1	114	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2788	64.0%
.	1451	33.3%
1	114	2.6%

BsmtFinType1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	1038
1.0	413

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	1038	71.5%
1.0	413	28.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	1038	71.5%
1.0	413	28.5%

Most occurring characters

Value	Count	Frequency (%)
0	2489	57.2%
.	1451	33.3%
1	413	9.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2489	85.8%
1	413	14.2%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2489	57.2%
.	1451	33.3%
1	413	9.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2489	57.2%
.	1451	33.3%
1	413	9.5%

BsmtFinSF1
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	633
Distinct (%)	43.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	442.2749828

Minimum	0
Maximum	5644
Zeros	464
Zeros (%)	32.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	381
Q3	707
95-th percentile	1272
Maximum	5644
Range	5644
Interquartile range (IQR)	707

Descriptive statistics

Standard deviation	455.3692759
Coefficient of variation (CV)	1.029606678
Kurtosis	11.29369587
Mean	442.2749828
Median Absolute Deviation (MAD)	381
Skewness	1.702582099
Sum	641741
Variance	207361.1774
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	464	32.0%
24	12	0.8%
16	9	0.6%
616	5	0.3%
20	5	0.3%
936	5	0.3%
662	5	0.3%
686	5	0.3%
697	4	0.3%
641	4	0.3%
Other values (623)	933	64.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	464	32.0%
2	1	0.1%
16	9	0.6%
20	5	0.3%
24	12	0.8%
25	1	0.1%
27	1	0.1%
28	3	0.2%
33	1	0.1%
35	1	0.1%

Value	Count	Frequency (%)
5644	1	0.1%
2260	1	0.1%
2188	1	0.1%
2096	1	0.1%
1904	1	0.1%
1880	1	0.1%
1810	1	0.1%
1767	1	0.1%
1721	1	0.1%
1696	1	0.1%

BsmtFinType2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1247
0.0	204

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1247	85.9%
0.0	204	14.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1247	85.9%
0.0	204	14.1%

Most occurring characters

Value	Count	Frequency (%)
0	1655	38.0%
.	1451	33.3%
1	1247	28.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1655	57.0%
1	1247	43.0%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1655	38.0%
.	1451	33.3%
1	1247	28.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1655	38.0%
.	1451	33.3%
1	1247	28.6%

BsmtFinSF2
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	144
Distinct (%)	9.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.83804273

Minimum	0
Maximum	1474
Zeros	1284
Zeros (%)	88.5%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	398
Maximum	1474
Range	1474
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	161.7773245
Coefficient of variation (CV)	3.453972776
Kurtosis	19.96462251
Mean	46.83804273
Median Absolute Deviation (MAD)	0
Skewness	4.240229558
Sum	67962
Variance	26171.90272
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1284	88.5%
180	5	0.3%
374	3	0.2%
551	2	0.1%
147	2	0.1%
294	2	0.1%
391	2	0.1%
539	2	0.1%
96	2	0.1%
480	2	0.1%
Other values (134)	145	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1284	88.5%
28	1	0.1%
32	1	0.1%
35	1	0.1%
40	1	0.1%
41	2	0.1%
64	2	0.1%
68	1	0.1%
80	1	0.1%
81	1	0.1%

Value	Count	Frequency (%)
1474	1	0.1%
1127	1	0.1%
1120	1	0.1%
1085	1	0.1%
1080	1	0.1%
1063	1	0.1%
1061	1	0.1%
1057	1	0.1%
1031	1	0.1%
1029	1	0.1%

BsmtUnfSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	777
Distinct (%)	53.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	567.1971054

Minimum	0
Maximum	2336
Zeros	118
Zeros (%)	8.1%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	222
median	479
Q3	808
95-th percentile	1468
Maximum	2336
Range	2336
Interquartile range (IQR)	586

Descriptive statistics

Standard deviation	442.2091919
Coefficient of variation (CV)	0.7796393664
Kurtosis	0.4751190376
Mean	567.1971054
Median Absolute Deviation (MAD)	289
Skewness	0.9199767396
Sum	823003
Variance	195548.9694
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	118	8.1%
728	9	0.6%
300	7	0.5%
384	7	0.5%
572	7	0.5%
600	7	0.5%
440	6	0.4%
270	6	0.4%
280	6	0.4%
672	6	0.4%
Other values (767)	1272	87.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	118	8.1%
14	1	0.1%
15	1	0.1%
23	2	0.1%
26	1	0.1%
29	1	0.1%
30	1	0.1%
32	2	0.1%
35	1	0.1%
36	4	0.3%

Value	Count	Frequency (%)
2336	1	0.1%
2153	1	0.1%
2121	1	0.1%
2046	1	0.1%
2042	1	0.1%
2002	1	0.1%
1969	1	0.1%
1935	1	0.1%
1926	1	0.1%
1907	1	0.1%

TotalBsmtSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	717
Distinct (%)	49.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1056.310131

Minimum	0
Maximum	6110
Zeros	37
Zeros (%)	2.5%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	520
Q1	795
median	991
Q3	1297.5
95-th percentile	1749
Maximum	6110
Range	6110
Interquartile range (IQR)	502.5

Descriptive statistics

Standard deviation	437.9146086
Coefficient of variation (CV)	0.4145701114
Kurtosis	13.44412043
Mean	1056.310131
Median Absolute Deviation (MAD)	234
Skewness	1.535566317
Sum	1532706
Variance	191769.2044
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	37	2.5%
864	35	2.4%
672	17	1.2%
912	15	1.0%
1040	14	1.0%
816	13	0.9%
768	12	0.8%
728	12	0.8%
894	11	0.8%
848	11	0.8%
Other values (707)	1274	87.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	37	2.5%
105	1	0.1%
190	1	0.1%
264	3	0.2%
270	1	0.1%
290	1	0.1%
319	1	0.1%
360	1	0.1%
372	1	0.1%
384	6	0.4%

Value	Count	Frequency (%)
6110	1	0.1%
3206	1	0.1%
3200	1	0.1%
3138	1	0.1%
3094	1	0.1%
2633	1	0.1%
2524	1	0.1%
2444	1	0.1%
2396	1	0.1%
2392	1	0.1%

Heating
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1419
0.0	32

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1419	97.8%
0.0	32	2.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1419	97.8%
0.0	32	2.2%

Most occurring characters

Value	Count	Frequency (%)
0	1483	34.1%
.	1451	33.3%
1	1419	32.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1483	51.1%
1	1419	48.9%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1483	34.1%
.	1451	33.3%
1	1419	32.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1483	34.1%
.	1451	33.3%
1	1419	32.6%

HeatingQC
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	734
0.0	717

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	734	50.6%
0.0	717	49.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	734	50.6%
0.0	717	49.4%

Most occurring characters

Value	Count	Frequency (%)
0	2168	49.8%
.	1451	33.3%
1	734	16.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2168	74.7%
1	734	25.3%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2168	49.8%
.	1451	33.3%
1	734	16.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2168	49.8%
.	1451	33.3%
1	734	16.9%

CentralAir
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1356
0.0	95

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1356	93.5%
0.0	95	6.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1356	93.5%
0.0	95	6.5%

Most occurring characters

Value	Count	Frequency (%)
0	1546	35.5%
.	1451	33.3%
1	1356	31.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1546	53.3%
1	1356	46.7%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1546	35.5%
.	1451	33.3%
1	1356	31.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1546	35.5%
.	1451	33.3%
1	1356	31.2%

Electrical
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1326
0.0	125

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1326	91.4%
0.0	125	8.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1326	91.4%
0.0	125	8.6%

Most occurring characters

Value	Count	Frequency (%)
0	1576	36.2%
.	1451	33.3%
1	1326	30.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1576	54.3%
1	1326	45.7%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1576	36.2%
.	1451	33.3%
1	1326	30.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1576	36.2%
.	1451	33.3%
1	1326	30.5%

1stFlrSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	748
Distinct (%)	51.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1161.551344

Minimum	334
Maximum	4692
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	334
5-th percentile	672.5
Q1	882
median	1086
Q3	1391
95-th percentile	1827
Maximum	4692
Range	4358
Interquartile range (IQR)	509

Descriptive statistics

Standard deviation	385.0025319
Coefficient of variation (CV)	0.3314554574
Kurtosis	5.832535396
Mean	1161.551344
Median Absolute Deviation (MAD)	234
Skewness	1.373141509
Sum	1685411
Variance	148226.9496
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	25	1.7%
1040	16	1.1%
912	14	1.0%
894	12	0.8%
848	12	0.8%
672	11	0.8%
816	9	0.6%
630	9	0.6%
960	7	0.5%
832	7	0.5%
Other values (738)	1329	91.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
334	1	0.1%
372	1	0.1%
438	1	0.1%
480	1	0.1%
483	7	0.5%
495	1	0.1%
520	5	0.3%
525	1	0.1%
526	1	0.1%
536	1	0.1%

Value	Count	Frequency (%)
4692	1	0.1%
3228	1	0.1%
3138	1	0.1%
2898	1	0.1%
2633	1	0.1%
2524	1	0.1%
2444	1	0.1%
2411	1	0.1%
2402	1	0.1%
2392	1	0.1%

2ndFlrSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	414
Distinct (%)	28.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	346.7422467

Minimum	0
Maximum	2065
Zeros	824
Zeros (%)	56.8%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	728
95-th percentile	1141.5
Maximum	2065
Range	2065
Interquartile range (IQR)	728

Descriptive statistics

Standard deviation	436.4532772
Coefficient of variation (CV)	1.258725411
Kurtosis	-0.5452797813
Mean	346.7422467
Median Absolute Deviation (MAD)	0
Skewness	0.8157663449
Sum	503123
Variance	190491.4632
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	824	56.8%
728	10	0.7%
504	9	0.6%
546	8	0.6%
672	8	0.6%
720	7	0.5%
600	7	0.5%
896	6	0.4%
756	5	0.3%
689	5	0.3%
Other values (404)	562	38.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	824	56.8%
110	1	0.1%
167	1	0.1%
192	1	0.1%
208	1	0.1%
213	1	0.1%
220	1	0.1%
224	1	0.1%
240	2	0.1%
252	2	0.1%

Value	Count	Frequency (%)
2065	1	0.1%
1872	1	0.1%
1818	1	0.1%
1796	1	0.1%
1611	1	0.1%
1589	1	0.1%
1540	1	0.1%
1538	1	0.1%
1523	1	0.1%
1519	1	0.1%

LowQualFinSF
Real number (ℝ_≥0)

ZEROS

Distinct	24
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.880771881

Minimum	0
Maximum	572
Zeros	1425
Zeros (%)	98.2%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	572
Range	572
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	48.77156021
Coefficient of variation (CV)	8.293394335
Kurtosis	82.69356902
Mean	5.880771881
Median Absolute Deviation (MAD)	0
Skewness	8.982567342
Sum	8533
Variance	2378.665085
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	1425	98.2%
80	3	0.2%
360	2	0.1%
205	1	0.1%
479	1	0.1%
397	1	0.1%
514	1	0.1%
120	1	0.1%
481	1	0.1%
232	1	0.1%
Other values (14)	14	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1425	98.2%
53	1	0.1%
80	3	0.2%
120	1	0.1%
144	1	0.1%
156	1	0.1%
205	1	0.1%
232	1	0.1%
234	1	0.1%
360	2	0.1%

Value	Count	Frequency (%)
572	1	0.1%
528	1	0.1%
515	1	0.1%
514	1	0.1%
513	1	0.1%
481	1	0.1%
479	1	0.1%
473	1	0.1%
420	1	0.1%
397	1	0.1%

GrLivArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	858
Distinct (%)	59.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1514.174363

Minimum	334
Maximum	5642
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	334
5-th percentile	848
Q1	1128
median	1464
Q3	1776
95-th percentile	2464
Maximum	5642
Range	5308
Interquartile range (IQR)	648

Descriptive statistics

Standard deviation	525.7995205
Coefficient of variation (CV)	0.3472516333
Kurtosis	4.927435796
Mean	1514.174363
Median Absolute Deviation (MAD)	326
Skewness	1.373512412
Sum	2197067
Variance	276465.1358
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	22	1.5%
1040	14	1.0%
894	11	0.8%
848	10	0.7%
1456	10	0.7%
912	9	0.6%
1092	8	0.6%
1200	8	0.6%
816	8	0.6%
987	7	0.5%
Other values (848)	1344	92.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
334	1	0.1%
438	1	0.1%
480	1	0.1%
520	1	0.1%
605	1	0.1%
616	1	0.1%
630	6	0.4%
672	2	0.1%
691	1	0.1%
693	1	0.1%

Value	Count	Frequency (%)
5642	1	0.1%
4676	1	0.1%
4476	1	0.1%
4316	1	0.1%
3627	1	0.1%
3608	1	0.1%
3493	1	0.1%
3447	1	0.1%
3395	1	0.1%
3279	1	0.1%

BsmtFullBath
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	853
1.0	582
2.0	15
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	853	58.8%
1.0	582	40.1%
2.0	15	1.0%
3.0	1	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	853	58.8%
1.0	582	40.1%
2.0	15	1.0%
3.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2304	52.9%
.	1451	33.3%
1	582	13.4%
2	15	0.3%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2304	79.4%
1	582	20.1%
2	15	0.5%
3	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2304	52.9%
.	1451	33.3%
1	582	13.4%
2	15	0.3%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2304	52.9%
.	1451	33.3%
1	582	13.4%
2	15	0.3%
3	1	< 0.1%

BsmtHalfBath
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	1369
1.0	80
2.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1369	94.3%
1.0	80	5.5%
2.0	2	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	1369	94.3%
1.0	80	5.5%
2.0	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2820	64.8%
.	1451	33.3%
1	80	1.8%
2	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2820	97.2%
1	80	2.8%
2	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2820	64.8%
.	1451	33.3%
1	80	1.8%
2	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2820	64.8%
.	1451	33.3%
1	80	1.8%
2	2	< 0.1%

FullBath
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

2.0	761
1.0	649
3.0	32
0.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	1.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	761	52.4%
1.0	649	44.7%
3.0	32	2.2%
0.0	9	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.0	761	52.4%
1.0	649	44.7%
3.0	32	2.2%
0.0	9	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	1460	33.5%
.	1451	33.3%
2	761	17.5%
1	649	14.9%
3	32	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1460	50.3%
2	761	26.2%
1	649	22.4%
3	32	1.1%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1460	33.5%
.	1451	33.3%
2	761	17.5%
1	649	14.9%
3	32	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1460	33.5%
.	1451	33.3%
2	761	17.5%
1	649	14.9%
3	32	0.7%

HalfBath
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	910
1.0	529
2.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	910	62.7%
1.0	529	36.5%
2.0	12	0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	910	62.7%
1.0	529	36.5%
2.0	12	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	2361	54.2%
.	1451	33.3%
1	529	12.2%
2	12	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2361	81.4%
1	529	18.2%
2	12	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2361	54.2%
.	1451	33.3%
1	529	12.2%
2	12	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2361	54.2%
.	1451	33.3%
1	529	12.2%
2	12	0.3%

BedroomAbvGr
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.866988284

Minimum	0
Maximum	8
Zeros	6
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8150856688
Coefficient of variation (CV)	0.2843003138
Kurtosis	2.254820679
Mean	2.866988284
Median Absolute Deviation (MAD)	0
Skewness	0.2178468767
Sum	4160
Variance	0.6643646474
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	800	55.1%
2	356	24.5%
4	211	14.5%
1	49	3.4%
5	21	1.4%
6	7	0.5%
0	6	0.4%
8	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6	0.4%
1	49	3.4%
2	356	24.5%
3	800	55.1%
4	211	14.5%
5	21	1.4%
6	7	0.5%
8	1	0.1%

Value	Count	Frequency (%)
8	1	0.1%
6	7	0.5%
5	21	1.4%
4	211	14.5%
3	800	55.1%
2	356	24.5%
1	49	3.4%
0	6	0.4%

KitchenAbvGr
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1384
2.0	64
3.0	2
0.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1384	95.4%
2.0	64	4.4%
3.0	2	0.1%
0.0	1	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1384	95.4%
2.0	64	4.4%
3.0	2	0.1%
0.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1452	33.4%
.	1451	33.3%
1	1384	31.8%
2	64	1.5%
3	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1452	50.0%
1	1384	47.7%
2	64	2.2%
3	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1452	33.4%
.	1451	33.3%
1	1384	31.8%
2	64	1.5%
3	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1452	33.4%
.	1451	33.3%
1	1384	31.8%
2	64	1.5%
3	2	< 0.1%

KitchenQual
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	872
1.0	579

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	872	60.1%
1.0	579	39.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	872	60.1%
1.0	579	39.9%

Most occurring characters

Value	Count	Frequency (%)
0	2323	53.4%
.	1451	33.3%
1	579	13.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2323	80.0%
1	579	20.0%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2323	53.4%
.	1451	33.3%
1	579	13.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2323	53.4%
.	1451	33.3%
1	579	13.3%

TotRmsAbvGrd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.516884907

Minimum	2
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	5
median	6
Q3	7
95-th percentile	10
Maximum	14
Range	12
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.626575908
Coefficient of variation (CV)	0.2495940824
Kurtosis	0.8863725364
Mean	6.516884907
Median Absolute Deviation (MAD)	1
Skewness	0.6808626334
Sum	9456
Variance	2.645749186
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
6	401	27.6%
7	325	22.4%
5	274	18.9%
8	186	12.8%
4	96	6.6%
9	74	5.1%
10	47	3.2%
11	18	1.2%
3	17	1.2%
12	11	0.8%
Other values (2)	2	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.1%
3	17	1.2%
4	96	6.6%
5	274	18.9%
6	401	27.6%
7	325	22.4%
8	186	12.8%
9	74	5.1%
10	47	3.2%
11	18	1.2%

Value	Count	Frequency (%)
14	1	0.1%
12	11	0.8%
11	18	1.2%
10	47	3.2%
9	74	5.1%
8	186	12.8%
7	325	22.4%
6	401	27.6%
5	274	18.9%
4	96	6.6%

Functional
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1352
0.0	99

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1352	93.2%
0.0	99	6.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1352	93.2%
0.0	99	6.8%

Most occurring characters

Value	Count	Frequency (%)
0	1550	35.6%
.	1451	33.3%
1	1352	31.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1550	53.4%
1	1352	46.6%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1550	35.6%
.	1451	33.3%
1	1352	31.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1550	35.6%
.	1451	33.3%
1	1352	31.1%

Fireplaces
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	685
1.0	648
2.0	113
3.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	685	47.2%
1.0	648	44.7%
2.0	113	7.8%
3.0	5	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	685	47.2%
1.0	648	44.7%
2.0	113	7.8%
3.0	5	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	2136	49.1%
.	1451	33.3%
1	648	14.9%
2	113	2.6%
3	5	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2136	73.6%
1	648	22.3%
2	113	3.9%
3	5	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2136	49.1%
.	1451	33.3%
1	648	14.9%
2	113	2.6%
3	5	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2136	49.1%
.	1451	33.3%
1	648	14.9%
2	113	2.6%
3	5	0.1%

FireplaceQu
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	1140
1.0	311

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	1140	78.6%
1.0	311	21.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	1140	78.6%
1.0	311	21.4%

Most occurring characters

Value	Count	Frequency (%)
0	2591	59.5%
.	1451	33.3%
1	311	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2591	89.3%
1	311	10.7%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2591	59.5%
.	1451	33.3%
1	311	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2591	59.5%
.	1451	33.3%
1	311	7.1%

GarageType
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	863
0.0	588

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	863	59.5%
0.0	588	40.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	863	59.5%
0.0	588	40.5%

Most occurring characters

Value	Count	Frequency (%)
0	2039	46.8%
.	1451	33.3%
1	863	19.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2039	70.3%
1	863	29.7%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2039	46.8%
.	1451	33.3%
1	863	19.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2039	46.8%
.	1451	33.3%
1	863	19.8%

GarageYrBlt
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	1.2%
Missing	1370
Missing (%)	94.4%
Memory size	11.5 KiB

0.0	81

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	243
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	81	5.6%
(Missing)	1370	94.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	81	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	162	66.7%
.	81	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	162	66.7%
Other Punctuation	81	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	162	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	81	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	243	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	162	66.7%
.	81	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	243	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	162	66.7%
.	81	33.3%

GarageFinish
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0.0	1033
1.0	418

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	1033	71.2%
1.0	418	28.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	1033	71.2%
1.0	418	28.8%

Most occurring characters

Value	Count	Frequency (%)
0	2484	57.1%
.	1451	33.3%
1	418	9.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2484	85.6%
1	418	14.4%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2484	57.1%
.	1451	33.3%
1	418	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2484	57.1%
.	1451	33.3%
1	418	9.6%

GarageCars
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

2.0	816
1.0	369
3.0	180
0.0	81
4.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
2.0	816	56.2%
1.0	369	25.4%
3.0	180	12.4%
0.0	81	5.6%
4.0	5	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.0	816	56.2%
1.0	369	25.4%
3.0	180	12.4%
0.0	81	5.6%
4.0	5	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	1532	35.2%
.	1451	33.3%
2	816	18.7%
1	369	8.5%
3	180	4.1%
4	5	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1532	52.8%
2	816	28.1%
1	369	12.7%
3	180	6.2%
4	5	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1532	35.2%
.	1451	33.3%
2	816	18.7%
1	369	8.5%
3	180	4.1%
4	5	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1532	35.2%
.	1451	33.3%
2	816	18.7%
1	369	8.5%
3	180	4.1%
4	5	0.1%

GarageArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	438
Distinct (%)	30.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	472.5251551

Minimum	0
Maximum	1418
Zeros	81
Zeros (%)	5.6%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	327.5
median	478
Q3	576
95-th percentile	849
Maximum	1418
Range	1418
Interquartile range (IQR)	248.5

Descriptive statistics

Standard deviation	214.1717516
Coefficient of variation (CV)	0.4532494182
Kurtosis	0.9092646116
Mean	472.5251551
Median Absolute Deviation (MAD)	118
Skewness	0.1825849828
Sum	685634
Variance	45869.53919
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	81	5.6%
440	48	3.3%
576	47	3.2%
240	38	2.6%
484	33	2.3%
528	33	2.3%
288	27	1.9%
400	24	1.7%
264	24	1.7%
480	23	1.6%
Other values (428)	1073	73.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	81	5.6%
160	2	0.1%
164	1	0.1%
180	9	0.6%
186	1	0.1%
189	1	0.1%
192	1	0.1%
198	1	0.1%
200	4	0.3%
205	3	0.2%

Value	Count	Frequency (%)
1418	1	0.1%
1390	1	0.1%
1356	1	0.1%
1248	1	0.1%
1220	1	0.1%
1166	1	0.1%
1134	1	0.1%
1069	1	0.1%
1053	1	0.1%
1052	2	0.1%

GarageQual
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1302
0.0	149

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1302	89.7%
0.0	149	10.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1302	89.7%
0.0	149	10.3%

Most occurring characters

Value	Count	Frequency (%)
0	1600	36.8%
.	1451	33.3%
1	1302	29.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1600	55.1%
1	1302	44.9%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1600	36.8%
.	1451	33.3%
1	1302	29.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1600	36.8%
.	1451	33.3%
1	1302	29.9%

GarageCond
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1317
0.0	134

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1317	90.8%
0.0	134	9.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1317	90.8%
0.0	134	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	1585	36.4%
.	1451	33.3%
1	1317	30.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1585	54.6%
1	1317	45.4%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1585	36.4%
.	1451	33.3%
1	1317	30.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1585	36.4%
.	1451	33.3%
1	1317	30.3%

PavedDrive
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1331
0.0	90
2.0	30

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1331	91.7%
0.0	90	6.2%
2.0	30	2.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1331	91.7%
0.0	90	6.2%
2.0	30	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	1541	35.4%
.	1451	33.3%
1	1331	30.6%
2	30	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1541	53.1%
1	1331	45.9%
2	30	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1541	35.4%
.	1451	33.3%
1	1331	30.6%
2	30	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1541	35.4%
.	1451	33.3%
1	1331	30.6%
2	30	0.7%

WoodDeckSF
Real number (ℝ_≥0)

ZEROS

Distinct	274
Distinct (%)	18.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	94.41281875

Minimum	0
Maximum	857
Zeros	755
Zeros (%)	52.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	168
95-th percentile	335
Maximum	857
Range	857
Interquartile range (IQR)	168

Descriptive statistics

Standard deviation	125.4368524
Coefficient of variation (CV)	1.328599803
Kurtosis	2.997259286
Mean	94.41281875
Median Absolute Deviation (MAD)	0
Skewness	1.541871617
Sum	136993
Variance	15734.40395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	755	52.0%
192	38	2.6%
100	35	2.4%
144	33	2.3%
120	31	2.1%
168	28	1.9%
140	15	1.0%
224	14	1.0%
240	10	0.7%
208	10	0.7%
Other values (264)	482	33.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	755	52.0%
12	2	0.1%
24	2	0.1%
26	2	0.1%
28	2	0.1%
30	1	0.1%
32	1	0.1%
33	1	0.1%
35	1	0.1%
36	4	0.3%

Value	Count	Frequency (%)
857	1	0.1%
736	1	0.1%
728	1	0.1%
670	1	0.1%
668	1	0.1%
635	1	0.1%
586	1	0.1%
576	1	0.1%
574	1	0.1%
550	1	0.1%

OpenPorchSF
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	201
Distinct (%)	13.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.42246726

Minimum	0
Maximum	547
Zeros	653
Zeros (%)	45.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	24
Q3	68
95-th percentile	173
Maximum	547
Range	547
Interquartile range (IQR)	68

Descriptive statistics

Standard deviation	66.06015037
Coefficient of variation (CV)	1.423021099
Kurtosis	8.664993445
Mean	46.42246726
Median Absolute Deviation (MAD)	24
Skewness	2.384908285
Sum	67359
Variance	4363.943467
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	653	45.0%
36	29	2.0%
48	21	1.4%
20	21	1.4%
40	19	1.3%
45	19	1.3%
24	16	1.1%
30	16	1.1%
60	15	1.0%
39	14	1.0%
Other values (191)	628	43.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	653	45.0%
4	1	0.1%
8	1	0.1%
10	1	0.1%
11	1	0.1%
12	3	0.2%
15	1	0.1%
16	8	0.6%
17	2	0.1%
18	5	0.3%

Value	Count	Frequency (%)
547	1	0.1%
523	1	0.1%
502	1	0.1%
418	1	0.1%
406	1	0.1%
364	1	0.1%
341	1	0.1%
319	1	0.1%
312	2	0.1%
304	1	0.1%

EnclosedPorch
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	119
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.95244659

Minimum	0
Maximum	552
Zeros	1244
Zeros (%)	85.7%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	180
Maximum	552
Range	552
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	61.10822349
Coefficient of variation (CV)	2.783663463
Kurtosis	10.47448484
Mean	21.95244659
Median Absolute Deviation (MAD)	0
Skewness	3.094001094
Sum	31853
Variance	3734.214978
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1244	85.7%
112	15	1.0%
96	6	0.4%
144	5	0.3%
192	5	0.3%
120	5	0.3%
216	5	0.3%
252	4	0.3%
116	4	0.3%
156	4	0.3%
Other values (109)	154	10.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1244	85.7%
19	1	0.1%
20	1	0.1%
24	1	0.1%
30	1	0.1%
32	2	0.1%
34	2	0.1%
36	2	0.1%
37	1	0.1%
39	2	0.1%

Value	Count	Frequency (%)
552	1	0.1%
386	1	0.1%
330	1	0.1%
318	1	0.1%
301	1	0.1%
294	1	0.1%
293	1	0.1%
291	1	0.1%
286	1	0.1%
280	1	0.1%

3SsnPorch
Real number (ℝ_≥0)

ZEROS

Distinct	20
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.430737422

Minimum	0
Maximum	508
Zeros	1427
Zeros (%)	98.3%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	508
Range	508
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	29.40694017
Coefficient of variation (CV)	8.571609119
Kurtosis	122.8756915
Mean	3.430737422
Median Absolute Deviation (MAD)	0
Skewness	10.2717415
Sum	4978
Variance	864.7681304
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	1427	98.3%
168	3	0.2%
144	2	0.1%
180	2	0.1%
216	2	0.1%
290	1	0.1%
153	1	0.1%
96	1	0.1%
23	1	0.1%
162	1	0.1%
Other values (10)	10	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1427	98.3%
23	1	0.1%
96	1	0.1%
130	1	0.1%
140	1	0.1%
144	2	0.1%
153	1	0.1%
162	1	0.1%
168	3	0.2%
180	2	0.1%

Value	Count	Frequency (%)
508	1	0.1%
407	1	0.1%
320	1	0.1%
304	1	0.1%
290	1	0.1%
245	1	0.1%
238	1	0.1%
216	2	0.1%
196	1	0.1%
182	1	0.1%

ScreenPorch
Real number (ℝ_≥0)

ZEROS

Distinct	76
Distinct (%)	5.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.15437629

Minimum	0
Maximum	480
Zeros	1335
Zeros (%)	92.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	160
Maximum	480
Range	480
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	55.9175219
Coefficient of variation (CV)	3.689859669
Kurtosis	18.29903044
Mean	15.15437629
Median Absolute Deviation (MAD)	0
Skewness	4.107410709
Sum	21989
Variance	3126.769255
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1335	92.0%
192	6	0.4%
120	5	0.3%
224	5	0.3%
189	4	0.3%
180	4	0.3%
147	3	0.2%
90	3	0.2%
160	3	0.2%
144	3	0.2%
Other values (66)	80	5.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1335	92.0%
40	1	0.1%
53	1	0.1%
60	1	0.1%
63	1	0.1%
80	1	0.1%
90	3	0.2%
95	1	0.1%
99	1	0.1%
100	2	0.1%

Value	Count	Frequency (%)
480	1	0.1%
440	1	0.1%
410	1	0.1%
396	1	0.1%
385	1	0.1%
374	1	0.1%
322	1	0.1%
312	1	0.1%
291	1	0.1%
288	2	0.1%

PoolArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.77601654

Minimum	0
Maximum	738
Zeros	1444
Zeros (%)	99.5%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	738
Range	738
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	40.30121249
Coefficient of variation (CV)	14.51764134
Kurtosis	221.8663877
Mean	2.77601654
Median Absolute Deviation (MAD)	0
Skewness	14.78206885
Sum	4028
Variance	1624.187728
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	1444	99.5%
512	1	0.1%
648	1	0.1%
576	1	0.1%
555	1	0.1%
480	1	0.1%
519	1	0.1%
738	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1444	99.5%
480	1	0.1%
512	1	0.1%
519	1	0.1%
555	1	0.1%
576	1	0.1%
648	1	0.1%
738	1	0.1%

Value	Count	Frequency (%)
738	1	0.1%
648	1	0.1%
576	1	0.1%
555	1	0.1%
519	1	0.1%
512	1	0.1%
480	1	0.1%
0	1444	99.5%

PoolQC
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1444
0.0	7

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1444	99.5%
0.0	7	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1444	99.5%
0.0	7	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	1458	33.5%
.	1451	33.3%
1	1444	33.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1458	50.2%
1	1444	49.8%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1458	33.5%
.	1451	33.3%
1	1444	33.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1458	33.5%
.	1451	33.3%
1	1444	33.2%

Fence
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1170
0.0	281

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1170	80.6%
0.0	281	19.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1170	80.6%
0.0	281	19.4%

Most occurring characters

Value	Count	Frequency (%)
0	1732	39.8%
.	1451	33.3%
1	1170	26.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1732	59.7%
1	1170	40.3%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1732	39.8%
.	1451	33.3%
1	1170	26.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1732	39.8%
.	1451	33.3%
1	1170	26.9%

MiscFeature
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1397
0.0	54

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1397	96.3%
0.0	54	3.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1397	96.3%
0.0	54	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	1505	34.6%
.	1451	33.3%
1	1397	32.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1505	51.9%
1	1397	48.1%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1505	34.6%
.	1451	33.3%
1	1397	32.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1505	34.6%
.	1451	33.3%
1	1397	32.1%

MiscVal
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	21
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.75878704

Minimum	0
Maximum	15500
Zeros	1399
Zeros (%)	96.4%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	15500
Range	15500
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	497.6484672
Coefficient of variation (CV)	11.37253797
Kurtosis	696.692094
Mean	43.75878704
Median Absolute Deviation (MAD)	0
Skewness	24.40151268
Sum	63494
Variance	247653.9969
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	1399	96.4%
400	11	0.8%
500	8	0.6%
700	5	0.3%
450	4	0.3%
600	4	0.3%
2000	4	0.3%
1200	2	0.1%
480	2	0.1%
15500	1	0.1%
Other values (11)	11	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1399	96.4%
54	1	0.1%
350	1	0.1%
400	11	0.8%
450	4	0.3%
480	2	0.1%
500	8	0.6%
560	1	0.1%
600	4	0.3%
620	1	0.1%

Value	Count	Frequency (%)
15500	1	0.1%
8300	1	0.1%
3500	1	0.1%
2500	1	0.1%
2000	4	0.3%
1400	1	0.1%
1300	1	0.1%
1200	2	0.1%
1150	1	0.1%
800	1	0.1%

MoSold
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.319090283

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	5
median	6
Q3	8
95-th percentile	11
Maximum	12
Range	11
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.700352621
Coefficient of variation (CV)	0.4273324956
Kurtosis	-0.3981785029
Mean	6.319090283
Median Absolute Deviation (MAD)	2
Skewness	0.2092573567
Sum	9169
Variance	7.291904275
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
6	253	17.4%
7	234	16.1%
5	201	13.9%
4	141	9.7%
8	121	8.3%
3	104	7.2%
10	89	6.1%
11	78	5.4%
9	62	4.3%
12	58	4.0%
Other values (2)	110	7.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	58	4.0%
2	52	3.6%
3	104	7.2%
4	141	9.7%
5	201	13.9%
6	253	17.4%
7	234	16.1%
8	121	8.3%
9	62	4.3%
10	89	6.1%

Value	Count	Frequency (%)
12	58	4.0%
11	78	5.4%
10	89	6.1%
9	62	4.3%
8	121	8.3%
7	234	16.1%
6	253	17.4%
5	201	13.9%
4	141	9.7%
3	104	7.2%

YrSold
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

2009.0	337
2007.0	327
2006.0	313
2008.0	300
2010.0	174

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	8706
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2008.0
2nd row	2007.0
3rd row	2008.0
4th row	2006.0
5th row	2008.0

Common Values

Value	Count	Frequency (%)
2009.0	337	23.2%
2007.0	327	22.5%
2006.0	313	21.6%
2008.0	300	20.7%
2010.0	174	12.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2009.0	337	23.2%
2007.0	327	22.5%
2006.0	313	21.6%
2008.0	300	20.7%
2010.0	174	12.0%

Most occurring characters

Value	Count	Frequency (%)
0	4353	50.0%
2	1451	16.7%
.	1451	16.7%
9	337	3.9%
7	327	3.8%
6	313	3.6%
8	300	3.4%
1	174	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7255	83.3%
Other Punctuation	1451	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4353	60.0%
2	1451	20.0%
9	337	4.6%
7	327	4.5%
6	313	4.3%
8	300	4.1%
1	174	2.4%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8706	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4353	50.0%
2	1451	16.7%
.	1451	16.7%
9	337	3.9%
7	327	3.8%
6	313	3.6%
8	300	3.4%
1	174	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8706	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4353	50.0%
2	1451	16.7%
.	1451	16.7%
9	337	3.9%
7	327	3.8%
6	313	3.6%
8	300	3.4%
1	174	2.0%

SaleType
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1261
0.0	190

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1261	86.9%
0.0	190	13.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1261	86.9%
0.0	190	13.1%

Most occurring characters

Value	Count	Frequency (%)
0	1641	37.7%
.	1451	33.3%
1	1261	29.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1641	56.5%
1	1261	43.5%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1641	37.7%
.	1451	33.3%
1	1261	29.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1641	37.7%
.	1451	33.3%
1	1261	29.0%

SaleCondition
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1.0	1193
0.0	258

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4353
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1193	82.2%
0.0	258	17.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	1193	82.2%
0.0	258	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	1709	39.3%
.	1451	33.3%
1	1193	27.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2902	66.7%
Other Punctuation	1451	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1709	58.9%
1	1193	41.1%

Other Punctuation

Value	Count	Frequency (%)
.	1451	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4353	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1709	39.3%
.	1451	33.3%
1	1193	27.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1709	39.3%
.	1451	33.3%
1	1193	27.4%

SalePrice
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	657
Distinct (%)	45.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	180624.102

Minimum	34900
Maximum	755000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	34900
5-th percentile	88000
Q1	129900
median	162500
Q3	214000
95-th percentile	325812
Maximum	755000
Range	720100
Interquartile range (IQR)	84100

Descriptive statistics

Standard deviation	79312.12827
Coefficient of variation (CV)	0.4391004711
Kurtosis	6.573025006
Mean	180624.102
Median Absolute Deviation (MAD)	37500
Skewness	1.883111046
Sum	262085572
Variance	6290413691
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
140000	20	1.4%
135000	17	1.2%
145000	14	1.0%
155000	14	1.0%
190000	13	0.9%
110000	13	0.9%
115000	12	0.8%
160000	12	0.8%
130000	11	0.8%
139000	11	0.8%
Other values (647)	1314	90.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
34900	1	0.1%
35311	1	0.1%
37900	1	0.1%
39300	1	0.1%
40000	1	0.1%
52000	1	0.1%
52500	1	0.1%
55000	2	0.1%
55993	1	0.1%
58500	1	0.1%

Value	Count	Frequency (%)
755000	1	0.1%
745000	1	0.1%
625000	1	0.1%
611657	1	0.1%
582933	1	0.1%
556581	1	0.1%
555000	1	0.1%
538000	1	0.1%
501837	1	0.1%
485000	1	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	Id	MSSubClass	MSZoning	LotArea	Street	Alley	LotShape	LandContour	Utilities	LotConfig	LandSlope	Neighborhood	Condition1	Condition2	BldgType	HouseStyle	OverallQual	OverallCond	YearBuilt	YearRemodAdd	RoofStyle	RoofMatl	Exterior1st	Exterior2nd	MasVnrType	MasVnrArea	ExterQual	ExterCond	Foundation	BsmtQual	BsmtCond	BsmtExposure	BsmtFinType1	BsmtFinSF1	BsmtFinType2	BsmtFinSF2	BsmtUnfSF	TotalBsmtSF	Heating	HeatingQC	CentralAir	Electrical	1stFlrSF	2ndFlrSF	GrLivArea	BsmtFullBath	BsmtHalfBath	FullBath	HalfBath	BedroomAbvGr	KitchenAbvGr	KitchenQual	TotRmsAbvGrd	Functional	Fireplaces	FireplaceQu	GarageType	GarageYrBlt	GarageFinish	GarageCars	GarageArea	GarageQual	GarageCond	PavedDrive	WoodDeckSF	OpenPorchSF	EnclosedPorch	3SsnPorch	PoolQC	Fence	MiscFeature	MiscVal	MoSold	YrSold	SaleType	SaleCondition	SalePrice
0	0.0	1.0	60.0	1.0	8450.0	1.0	1.0	0.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	7.0	5.0	2003.0	2003.0	1.0	1.0	1.0	1.0	1.0	196.0	1.0	1.0	1.0	1.0	1.0	0.0	1.0	706.0	1.0	0.0	150.0	856.0	1.0	1.0	1.0	1.0	856.0	854.0	1710.0	1.0	0.0	2.0	1.0	3.0	1.0	1.0	8.0	1.0	0.0	0.0	1.0	NaN	1.0	2.0	548.0	1.0	1.0	1.0	0.0	61.0	0.0	0.0	1.0	1.0	1.0	0.0	2.0	2008.0	1.0	1.0	208500.0
1	1.0	2.0	20.0	1.0	9600.0	1.0	1.0	0.0	1.0	1.0	0.0	1.0	0.0	0.0	1.0	1.0	0.0	6.0	8.0	1976.0	1976.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	0.0	0.0	978.0	1.0	0.0	284.0	1262.0	1.0	1.0	1.0	1.0	1262.0	0.0	1262.0	0.0	1.0	2.0	0.0	3.0	1.0	0.0	6.0	1.0	1.0	1.0	1.0	NaN	1.0	2.0	460.0	1.0	1.0	1.0	298.0	0.0	0.0	0.0	1.0	1.0	1.0	0.0	5.0	2007.0	1.0	1.0	181500.0
2	2.0	3.0	60.0	1.0	11250.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	7.0	5.0	2001.0	2002.0	1.0	1.0	1.0	1.0	1.0	162.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	486.0	1.0	0.0	434.0	920.0	1.0	1.0	1.0	1.0	920.0	866.0	1786.0	1.0	0.0	2.0	1.0	3.0	1.0	1.0	6.0	1.0	1.0	1.0	1.0	NaN	1.0	2.0	608.0	1.0	1.0	1.0	0.0	42.0	0.0	0.0	1.0	1.0	1.0	0.0	9.0	2008.0	1.0	1.0	223500.0
3	3.0	4.0	70.0	1.0	9550.0	1.0	1.0	1.0	1.0	1.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0	7.0	5.0	1915.0	1970.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	216.0	1.0	0.0	540.0	756.0	1.0	0.0	1.0	1.0	961.0	756.0	1717.0	1.0	0.0	1.0	0.0	3.0	1.0	1.0	7.0	1.0	1.0	0.0	0.0	NaN	0.0	3.0	642.0	1.0	1.0	1.0	0.0	35.0	272.0	0.0	1.0	1.0	1.0	0.0	2.0	2006.0	1.0	0.0	140000.0
4	4.0	5.0	60.0	1.0	14260.0	1.0	1.0	1.0	1.0	1.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0	8.0	5.0	2000.0	2000.0	1.0	1.0	1.0	1.0	1.0	350.0	1.0	1.0	1.0	1.0	1.0	0.0	1.0	655.0	1.0	0.0	490.0	1145.0	1.0	1.0	1.0	1.0	1145.0	1053.0	2198.0	1.0	0.0	2.0	1.0	4.0	1.0	1.0	9.0	1.0	1.0	1.0	1.0	NaN	1.0	3.0	836.0	1.0	1.0	1.0	192.0	84.0	0.0	0.0	1.0	1.0	1.0	0.0	12.0	2008.0	1.0	1.0	250000.0
5	5.0	6.0	50.0	1.0	14115.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	0.0	1.0	1.0	1.0	0.0	5.0	5.0	1993.0	1995.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	0.0	1.0	732.0	1.0	0.0	64.0	796.0	1.0	1.0	1.0	1.0	796.0	566.0	1362.0	1.0	0.0	1.0	1.0	1.0	1.0	0.0	5.0	1.0	0.0	0.0	1.0	NaN	0.0	2.0	480.0	1.0	1.0	1.0	40.0	30.0	0.0	320.0	1.0	0.0	0.0	700.0	10.0	2009.0	1.0	1.0	143000.0
6	6.0	7.0	20.0	1.0	10084.0	1.0	1.0	0.0	1.0	1.0	1.0	1.0	0.0	1.0	1.0	1.0	0.0	8.0	5.0	2004.0	2005.0	1.0	1.0	1.0	1.0	0.0	186.0	1.0	1.0	1.0	0.0	1.0	0.0	1.0	1369.0	1.0	0.0	317.0	1686.0	1.0	1.0	1.0	1.0	1694.0	0.0	1694.0	1.0	0.0	2.0	0.0	3.0	1.0	1.0	7.0	1.0	1.0	0.0	1.0	NaN	1.0	2.0	636.0	1.0	1.0	1.0	255.0	57.0	0.0	0.0	1.0	1.0	1.0	0.0	8.0	2007.0	1.0	1.0	307000.0
7	7.0	8.0	60.0	1.0	10382.0	1.0	1.0	1.0	1.0	1.0	0.0	1.0	0.0	0.0	1.0	1.0	1.0	7.0	6.0	1973.0	1973.0	1.0	1.0	0.0	0.0	0.0	240.0	0.0	1.0	0.0	1.0	1.0	1.0	0.0	859.0	0.0	32.0	216.0	1107.0	1.0	1.0	1.0	1.0	1107.0	983.0	2090.0	1.0	0.0	2.0	1.0	3.0	1.0	0.0	7.0	1.0	2.0	1.0	1.0	NaN	1.0	2.0	484.0	1.0	1.0	1.0	235.0	204.0	228.0	0.0	1.0	1.0	0.0	350.0	11.0	2009.0	1.0	1.0	200000.0
8	8.0	9.0	50.0	0.0	6120.0	1.0	1.0	0.0	1.0	1.0	1.0	1.0	0.0	0.0	1.0	1.0	0.0	7.0	5.0	1931.0	1950.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	952.0	952.0	1.0	0.0	1.0	0.0	1022.0	752.0	1774.0	0.0	0.0	2.0	0.0	2.0	2.0	0.0	8.0	0.0	2.0	1.0	0.0	NaN	0.0	2.0	468.0	0.0	1.0	1.0	90.0	0.0	205.0	0.0	1.0	1.0	1.0	0.0	4.0	2008.0	1.0	0.0	129900.0
9	9.0	10.0	190.0	1.0	7420.0	1.0	1.0	0.0	1.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	5.0	6.0	1939.0	1950.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	1.0	851.0	1.0	0.0	140.0	991.0	1.0	1.0	1.0	1.0	1077.0	0.0	1077.0	1.0	0.0	1.0	0.0	2.0	2.0	0.0	5.0	1.0	2.0	1.0	1.0	NaN	1.0	1.0	205.0	0.0	1.0	1.0	0.0	4.0	0.0	0.0	1.0	1.0	1.0	0.0	1.0	2008.0	1.0	1.0	118000.0

Last rows

	df_index	Id	MSSubClass	MSZoning	LotArea	Street	Alley	LandContour	Utilities	LotConfig	LandSlope	Condition1	Condition2	BldgType	HouseStyle	OverallQual	OverallCond	YearBuilt	YearRemodAdd	RoofStyle	RoofMatl	Exterior1st	Exterior2nd	MasVnrType	MasVnrArea	ExterQual	ExterCond	Foundation	BsmtQual	BsmtCond	BsmtExposure	BsmtFinType1	BsmtFinSF1	BsmtFinType2	BsmtFinSF2	BsmtUnfSF	TotalBsmtSF	Heating	HeatingQC	CentralAir	Electrical	1stFlrSF	2ndFlrSF	GrLivArea	BsmtFullBath	FullBath	HalfBath	BedroomAbvGr	KitchenAbvGr	KitchenQual	TotRmsAbvGrd	Functional	Fireplaces	FireplaceQu	GarageType	GarageYrBlt	GarageFinish	GarageCars	GarageArea	GarageQual	GarageCond	PavedDrive	WoodDeckSF	OpenPorchSF	EnclosedPorch	PoolQC	Fence	MiscFeature	MiscVal	MoSold	YrSold	SaleType	SaleCondition	SalePrice
1441	1450.0	1451.0	90.0	1.0	9000.0	1.0	1.0	1.0	1.0	0.0	1.0	1.0	1.0	0.0	1.0	5.0	5.0	1974.0	1974.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	0.0	0.0	0.0	1.0	0.0	896.0	896.0	1.0	0.0	1.0	1.0	896.0	896.0	1792.0	0.0	2.0	2.0	4.0	2.0	0.0	8.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	32.0	45.0	0.0	1.0	1.0	1.0	0.0	9.0	2009.0	1.0	1.0	136000.0
1442	1451.0	1452.0	20.0	1.0	9262.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	0.0	8.0	5.0	2008.0	2009.0	1.0	1.0	0.0	0.0	0.0	194.0	1.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0	0.0	1573.0	1573.0	1.0	1.0	1.0	1.0	1578.0	0.0	1578.0	0.0	2.0	0.0	3.0	1.0	0.0	7.0	1.0	1.0	0.0	1.0	NaN	0.0	3.0	840.0	1.0	1.0	1.0	0.0	36.0	0.0	1.0	1.0	1.0	0.0	5.0	2009.0	0.0	0.0	287090.0
1443	1452.0	1453.0	180.0	0.0	3675.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	0.0	0.0	5.0	5.0	2005.0	2005.0	1.0	1.0	1.0	1.0	1.0	80.0	0.0	1.0	1.0	1.0	1.0	0.0	1.0	547.0	1.0	0.0	0.0	547.0	1.0	0.0	1.0	1.0	1072.0	0.0	1072.0	1.0	1.0	0.0	2.0	1.0	0.0	5.0	1.0	0.0	0.0	0.0	NaN	0.0	2.0	525.0	1.0	1.0	1.0	0.0	28.0	0.0	1.0	1.0	1.0	0.0	5.0	2006.0	1.0	1.0	145000.0
1444	1453.0	1454.0	20.0	1.0	17217.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	0.0	5.0	5.0	2006.0	2006.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0	0.0	1140.0	1140.0	1.0	1.0	1.0	1.0	1140.0	0.0	1140.0	0.0	1.0	0.0	3.0	1.0	0.0	6.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	36.0	56.0	0.0	1.0	1.0	1.0	0.0	7.0	2006.0	1.0	0.0	84500.0
1445	1454.0	1455.0	20.0	0.0	7500.0	1.0	0.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	0.0	7.0	5.0	2004.0	2005.0	1.0	1.0	1.0	1.0	0.0	0.0	1.0	1.0	1.0	1.0	1.0	0.0	1.0	410.0	1.0	0.0	811.0	1221.0	1.0	1.0	1.0	1.0	1221.0	0.0	1221.0	1.0	2.0	0.0	2.0	1.0	1.0	6.0	1.0	0.0	0.0	1.0	NaN	1.0	2.0	400.0	1.0	1.0	1.0	0.0	113.0	0.0	1.0	1.0	1.0	0.0	10.0	2009.0	1.0	1.0	185000.0
1446	1455.0	1456.0	60.0	1.0	7917.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	6.0	5.0	1999.0	2000.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0	0.0	953.0	953.0	1.0	1.0	1.0	1.0	953.0	694.0	1647.0	0.0	2.0	1.0	3.0	1.0	0.0	7.0	1.0	1.0	1.0	1.0	NaN	1.0	2.0	460.0	1.0	1.0	1.0	0.0	40.0	0.0	1.0	1.0	1.0	0.0	8.0	2007.0	1.0	1.0	175000.0
1447	1456.0	1457.0	20.0	1.0	13175.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	0.0	6.0	6.0	1978.0	1988.0	1.0	1.0	0.0	0.0	0.0	119.0	0.0	1.0	0.0	1.0	1.0	0.0	0.0	790.0	0.0	163.0	589.0	1542.0	1.0	0.0	1.0	1.0	2073.0	0.0	2073.0	1.0	2.0	0.0	3.0	1.0	0.0	7.0	0.0	2.0	1.0	1.0	NaN	0.0	2.0	500.0	1.0	1.0	1.0	349.0	0.0	0.0	1.0	0.0	1.0	0.0	2.0	2010.0	1.0	1.0	210000.0
1448	1457.0	1458.0	70.0	1.0	9042.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	7.0	9.0	1941.0	2006.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	275.0	1.0	0.0	877.0	1152.0	1.0	1.0	1.0	1.0	1188.0	1152.0	2340.0	0.0	2.0	0.0	4.0	1.0	1.0	9.0	1.0	2.0	0.0	1.0	NaN	1.0	1.0	252.0	1.0	1.0	1.0	0.0	60.0	0.0	1.0	0.0	0.0	2500.0	5.0	2010.0	1.0	1.0	266500.0
1449	1458.0	1459.0	20.0	1.0	9717.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	0.0	5.0	6.0	1950.0	1996.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	1.0	49.0	0.0	1029.0	0.0	1078.0	1.0	0.0	1.0	0.0	1078.0	0.0	1078.0	1.0	1.0	0.0	2.0	1.0	1.0	5.0	1.0	0.0	0.0	1.0	NaN	0.0	1.0	240.0	1.0	1.0	1.0	366.0	0.0	112.0	1.0	1.0	1.0	0.0	4.0	2010.0	1.0	1.0	142125.0
1450	1459.0	1460.0	20.0	1.0	9937.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	0.0	5.0	6.0	1965.0	1965.0	1.0	1.0	0.0	0.0	0.0	0.0	1.0	1.0	0.0	0.0	1.0	0.0	0.0	830.0	0.0	290.0	136.0	1256.0	1.0	0.0	1.0	1.0	1256.0	0.0	1256.0	1.0	1.0	1.0	3.0	1.0	0.0	6.0	1.0	0.0	0.0	1.0	NaN	0.0	1.0	276.0	1.0	1.0	1.0	736.0	68.0	0.0	1.0	1.0	1.0	0.0	6.0	2008.0	1.0	1.0	147500.0

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation